Results 1 to 10 of about 239,278 (262)
Data-based spatial audio processing
EURASIP Journal on Audio, Speech, and Music Processing, 2022 Non peer ...
Maximo Cobos +3 more
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Correlated lip motion and voice audio data [PDF]
Data in Brief, 2018 This data set is comprised of correlated audio and lip movement data in multiple videos of multiple subjects reading the same text. It was collected to facilitate the development and validation of algorithms used to train and test a compound biometric ...
Marco Colasito +2 more
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Voice EHR: introducing multimodal audio data for health [PDF]
Frontiers in Digital HealthIntroductionArtificial intelligence (AI) models trained on audio data may have the potential to rapidly perform clinical tasks, enhancing medical decision-making and potentially improving outcomes through early detection.
James Anibal +32 more
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Discovering Speed Changes of Vehicles from Audio Data [PDF]
Sensors, 2019 In this paper, we focus on detection of speed changes from audio data, representing recordings of cars passing a microphone placed near the road. The goal of this work is to observe the behavior of drivers near control points, in order to check whether ...
Elżbieta Kubera +3 more
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Audiogmenter: a MATLAB toolbox for audio data augmentation [PDF]
Applied Computing and Informatics, 2021 Purpose – Create and share a MATLAB library that performs data augmentation algorithms for audio data. This study aims to help machine learning researchers to improve their models using the algorithms proposed by the authors. Design/methodology/approach –
Gianluca Maguolo +3 more
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Time-Scale Invariant Audio Data Embedding [PDF]
EURASIP Journal on Advances in Signal Processing, 2003 We propose a novel algorithm for high-quality data embedding in audio. The algorithm is based on changing the relative length of the middle segment between two successive maximum and minimum peaks to embed data.
Mansour Mohamed F, Tewfik Ahmed H
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Validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools
Forensic Science International: Synergy, 2022 This paper reports on validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools. This is an open-code human-supervised-automatic forensic-voice-comparison system based on x-vectors extracted using a type of Deep
Philip Weber +6 more
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Applied Sciences, 2022 Client conversations in contact centers are nowadays routinely recorded for a number of reasons—in many cases, just because it is required by current legislation. However, even if not required, conversations between customers and agents can be a valuable
María Pilar Fernández-Gallego +1 more
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Emotion recognition of human speech using deep learning method and MFCC features
Радіоелектронні і комп'ютерні системи, 2022 Subject matter: Speech emotion recognition (SER) is an ongoing interesting research topic. Its purpose is to establish interactions between humans and computers through speech and emotion.
Sumon Kumar Hazra +4 more
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Evaluation of Lombard Speech Models in the Context of Speech in Noise Enhancement
IEEE Access, 2020 The Lombard effect is one of the most well-known effects of noise on speech production. Speech with the Lombard effect is more easily recognizable in noisy environments than normal natural speech.
Grazina Korvel +3 more
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